)

(

(51) International Patent Classification: (72) Inventors: ABRAMSON, Dustin; Microsoft TechnologyG06Q 20/06 (2012.01) G06Q 30/02 (2012.01) Licensing, LLC, One Microsoft Way, Redmond, Wash¬G06Q 20/32 (2012.01) G06N3/08 (2006.01) ington 98052-6399 (US). FU, Derrick; Microsoft Tech¬H04L 9/32 (2006.01) nology Licensing, LLC, One Microsoft Way, Redmond,

(21) International Application Number:Washington 98052-6399 (US). JOHNSON, Joseph Ed¬

PCT/US20 19/038084win, JR.; Microsoft Technology Licensing, LLC, One Mi¬

crosoft Way, Redmond, Washington 98052-6399 (US).(22) International Filing Date:

20 June 2019 (20.06.2019)(74) Agent: MINHAS, Sandip S. et al.; Microsoft Technology

Licensing, LLC, One Microsoft Way, Redmond, Washing¬(25) Filing Language: English ton 98052-6399 (US).

(26) Publication Language: English (81) Designated States (unless otherwise indicated, for everykind of national protection av ailable) . AE, AG, AL, AM,

(30) Priority Data: AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ,16/138,5 18 2 1 September 2018 (21.09.2018) US CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO,

(71) Applicant: MICROSOFT TECHNOLOGY LI¬ DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN,CENSING, LLC [US/US]; One Microsoft Way, Redmond, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP,Washington 98052-6399 (US). KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME,

MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ,OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA,

(54) Title: CRYPTOCURRENCY SYSTEM USING BODY ACTIVITY DATA

(57) Abstract: Human body activity associated with a task provided to a user may be used in a mining process of a cryptocurrencysystem. A server may provide a task to a device of a user which is communicatively coupled to the server. A sensor communicativelycoupled to or comprised in the device of the user may sense body activity of the user. Body activity data may be generated based onthe sensed body activity of the user. The cryptocurrency system communicatively coupled to the device of the user may verify if thebody activity data satisfies one or more conditions set by the cryptocurrency system, and award cryptocurrency to the user whose bodyactivity data is verified.

[Continued on next page]

(84) Designated States (unless otherwise indicated, for everykind of regional protection available) : ARIPO (BW, GH,GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ,UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ,TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK,EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV,MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM,TR), OAPI (BF, BJ, CF, CG, Cl, CM, GA, GN, GQ, GW,KM, ML, MR, NE, SN, TD, TG).

Declarations under Rule 4.17:

CRYPTOCURRENCY SYSTEM USING BODY ACTIVITY DATA

BACKGROUND

[0001] A virtual currency (also known as a digital currency) is a medium of exchange

implemented through the Internet generally, not tied to a specific government-backed

“flat” (printed) currency such as the U.S. dollar or the Euro, and typically designed to

allow instantaneous transactions and borderless transfer of ownership. One example of

virtual currency is cryptocurrency, wherein cryptography is used to secure transactions

and to control the creation of new units.

[0002] Several cryptocurrencies exist. Among these, the most well known is a blockchain-

based cryptocurrency. Most blockchain-based cryptocurrency is decentralized in the sense

that it has no central point of control. However, blockchain-based cryptocurrency can also

be implemented in a centralized system having a central point of control over the

cryptocurrency. Bitcoin is one of the examples of blockchain-based cryptocurrency. It is

described in a 2008 article by Satoshi Nakamoto, named “Bitcoin: A peer-to-Peer

Electronic Cash System”.

[0003] A blockchain is a data structure that stores a list of transactions and can be thought

of as a distributed electronic ledger that records transactions between source identifier(s)

and destination identifier(s). The transactions are bundled into blocks and every block

(except for the first block) refers back to or is linked to a prior block in the blockchain.

Computer resources (or nodes, etc.) maintain the blockchain and cryptographically validate

each new block and the transactions contained in the corresponding block. This validation

process includes computationally solving a difficult problem that is also easy to verify and

is sometimes called a “proof-of-work”. This process is referred to as “mining”. The mining

may be a random process with low probability so that a lot of trial and error is required to

solve a computationally difficult problem. Accordingly, the mining may require enormous

amounts of computational energy.

[0004] It is with respect to these and other general considerations that the following

embodiments have been described. Also, although relatively specific problems have been

discussed, it should be understood that the embodiments should not be limited to solving

the specific problems identified in the background.

SUMMARY

[0005] Some exemplary embodiments of the present disclosure may use human body

activity associated with a task provided to a user as a solution to “mining” challenges in

cryptocurrency systems. For example, a brain wave or body heat emitted from the user

when the user performs the task provided by an information or service provider, such as

viewing advertisement or using certain internet services, can be used in the mining

process. Instead of massive computation work required by some conventional

cryptocurrency systems, data generated based on the body activity of the user can be a

proof-of-work, and therefore, a user can solve the computationally difficult problem

unconsciously. Accordingly, certain exemplary embodiments of the present disclosure

may reduce computational energy for the mining process as well as make the mining

process faster.

[0006] Systems, methods, and hardware aspects of computer readable storage media are

provided herein for a cryptocurrency system using human body activity data. According

to various embodiments of the present disclosure, a server may provide a task to a device

of a user which is communicatively coupled to the server. A sensor communicatively

coupled to or comprised in the device of the user may sense body activity of the user.

Body activity data may be generated based on the sensed body activity of the user. A

cryptocurrency system communicatively coupled to the device of the user may verify

whether or not the body activity data satisfies one or more conditions set by the

cryptocurrency system, and award cryptocurrency to the user whose body activity data is

verified.

[0007] Examples are implemented as a computer process, a computing system, or as an

article of manufacture such as a device, computer program product, or computer readable

medium. According to one aspect, the computer program product is a computer storage

medium readable by a computer system and encoding a computer program comprising

instructions for executing a computer process.

[0008] This summary is provided to introduce a selection of concepts in a simplified form

that are further described below in the Detailed Description. This summary is not intended

to identify key features or essential features of the claimed subject matter, nor is it intended

to be used to limit the scope of the claimed subject matter.

BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Various embodiments in accordance with the present disclosure will be described

with reference to the drawings, in which:

[0010] FIG. 1 illustrates an example environment in which some exemplary embodiments

of the present disclosure may be practiced;

[0011] FIG. 2 shows a system diagram of a decentralized cryptocurrency system according

to an exemplary embodiment of the present disclosure;

[0012] FIG. 3 shows a flow diagram of a computer-implemented method according to an

exemplary embodiment of the present disclosure;

[0013] FIG. 4 shows a flow diagram of an operation for generating body activity data

according to an exemplary embodiment of the present disclosure;

[0014] FIG. 5 shows a flow diagram of an operation for verifying body activity data

according to an exemplary embodiment of the present disclosure;

[0015] FIG. 6 illustrates a blockchain and two exemplary blocks of the blockchain

according to an exemplary embodiment of the present disclosure;

[0016] FIG. 7 shows a flow diagram of a computer-implemented method using a vector or

embedding according to another exemplary embodiment of the present disclosure; and

[0017] FIG. 8 illustrates an exemplary block diagram of a computer or processing system

in which processes involved in the system, method, and computer program product

described herein may be implemented.

[0018] Corresponding numerals and symbols in the different figures generally refer to

corresponding parts unless otherwise indicated. The figures are drawn to clearly illustrate

the relevant aspects of the embodiments and are not necessarily drawn to scale.

DETAILED DESCRIPTION OF EMBODIMENTS

[0019] In the following detailed description, reference is made to the accompanying

drawings which form a part hereof, and in which are shown by way of illustration specific

embodiments in which the invention may be practiced. These embodiments are described

in sufficient detail to enable those skilled in the art to practice the invention, and it is to be

understood that other embodiments may be utilized and that structural, logical and electrical

changes may be made without departing from the spirit and scope of the invention. The

following detailed description is therefore not to be taken in a limiting sense, and the scope

of the invention is defined only by the appended claims and equivalents thereof. Like

numbers in the figures refer to like components, which should be apparent from the context

of use.

[0020] The term “cryptocurrency” may mean a digital currency in which encryption

techniques are used to regulate the generation of units of currency and verify the transfer of

funds. Many cryptocurrencies include the use of a blockchain to provide security and

prevent fraud as double spending. Some embodiments of the present disclosure may be used

in alternate cryptocurrency mechanisms other than a blockchain. The system, method, and

computer program products described herein may be applied to both centralized and

decentralized cryptocurrency networks or databases.

[0021] FIG. 1 illustrates an example environment 100 in which some exemplary

embodiments of the present disclosure may be practiced. The example environment 100

includes, but is not limited to, at least one of task server 110, communication network 120,

user device 130, sensor 140, and cryptocurrency system 150.

[0022] Task server 110 may provide one or more tasks to user device 130 over

communication network 120. For example, task server 110 may be at least one of a web

server delivering or serving up web pages, an application server handling application

operations between users and applications or databases, a cloud server, a database server, a

file server, a service server, a game server implementing games or services for a game, and

a media server delivering media such as streaming video or audio. The tasks provided by

task server 110 will be discussed in more detail below.

[0023] Alternatively, cryptocurrency system 150 may provide one or more tasks to user

device 130. For example, in a decentralized cryptocurrency network, the tasks may be

proposed to user device 130 by miners (e.g. compute resources or nodes 210 of FIG. 2). In

another example, in a centralized cryptocurrency system, a cryptocurrency server may send

the tasks to user device 130.

[0024] Communication network 120 may include any wired or wireless connection, the

internet, or any other form of communication. Although one network 120 is identified in

FIG. 1, communication network 120 may include any number of different communication

networks between any of the server, devices, resource and system shown in FIGS. 1 and 2

and/or other servers, devices, resources and systems described herein. Communication

network 120 may enable communication between various computing resources or devices,

servers, and systems. Various implementations of communication network 120 may employ

different types of networks, for example, but not limited to, computer networks,

telecommunications networks (e.g., cellular), mobile wireless data networks, and any

combination of these and/or other networks.

[0025] User device 130 may include any device capable of processing and storing

data/information and communicating over communication network 120. For example, user

device 130 may include personal computers, servers, cell phones, tablets, laptops, smart

devices (e.g. smart watches or smart televisions). An exemplary embodiment of user device

130 is illustrated in FIG. 6 .

[0026] Sensor 140 may be configured to sense the body activity of user 145. As illustrated

in FIG. 1, sensor 140 may be a separate component from user device 130 and be operably

and/or communicatively connected to user device 130. Alternatively, sensor 140 may be

included and integrated in user device 130. For example, user device 130 may be a wearable

device having sensor 140 therein. The sensor 140 may transmit information/data to user

device 130. Sensor 140 may include, for example, but not limited to, functional magnetic

resonance imaging (fMRI) scanners or sensors, electroencephalography (EEG) sensors, near

infrared spectroscopy (NIRS) sensors, heart rate monitors, thermal sensors, optical sensors,

radio frequency (RF) sensors, ultrasonic sensors, cameras, or any other sensor or scanner

that can measure or sense body activity or scan human body. For instance, the fMRI may

measure body activity by detecting changes associated with blood flow. The fMRI may use

a magnetic field and radio waves to create detailed images of the body (e.g. blood flow in

the brain to detect areas of activity). The material

(http://news.berkely.edu/20ll/09/22/brain-movies/) shows one example of how the fMRI

can measure brain activity associated with visual information and generate image data.

[0027] Cryptocurrency system 150 may include one or more processors for processing

commands and one or more memories storing information in one or more cryptocurrency

data structures. In some embodiments, cryptocurrency system 150 may be a centralized

cryptocurrency system or network, for example, but not limited to, a server which may be

privately run by a third party entity or the same entity that is running the task server 110. In

other embodiments, cryptocurrency system 150 may be a publically accessible network

system (e.g., a distributed decentralized computing system).

[0028] For example, cryptocurrency system 150 may be a decentralized network 200, such

as a decentralized blockchain network, including one or more compute resources 210, as

shown, for example, in FIG. 2 . In the embodiment of FIG. 2, there may be no central

authority controlling cryptocurrency network 200. The data stored on blockchain network

200, i.e., the public ledger, may not be stored at a central location in its entirety. Blockchain

network 200 may include a plurality of processors for processing commands and a plurality

of memories storing information in one or more blockchain data structures. Blockchain

network 200 may maintain one or more blockchains of continuously growing lists of data

blocks, where each data block refers to previous blocks on its list. The requirement for each

block to refer to all previous blocks in the blockchain, yields a chain of blocks that is

hardened against tampering and revision, such that the information stored in the blockchain

is immutable.

[0029] Compute resources 210 may include any device, computer, system or otherwise that

has joined blockchain network 200 and forms a node in blockchain network 200. Compute

resources 210 may include, for example, but not limited to, personal computers, servers, cell

phones, tablets, laptops, smart devices (e.g. smart watches or smart televisions), or any other

device capable of storing information and communicating over communication network 120.

In some embodiments, compute resources 210 may be unaffiliated with or unknown to each

other where, for example, compute resources 210 remain anonymous. Each compute

resource 210 may include memory 220 that stores a copy of at least a portion of public

ledger 230 of blockchain network 200. Compute resources 210 may also execute one or

more programs to perform various functions associated with maintaining blockchain

network 200 including, for example, updating public ledger 230, generating new blocks, or

any other similar function.

[0030] For illustration purposes, FIG. 1 illustrates user device 130 as not included in

blockchain network 200. However, user device 130 may be part of blockchain network 200

and be implemented as one of the compute resources 210 in FIG. 2 .

[0031] Public ledger 230 may store any transactions performed over blockchain network

200 including but not limited to, for example, any transaction related to and occurring on

blockchain network 200. Because each compute resource 210 stores a copy of at least a

portion of the public ledger 230 of blockchain network 200, public ledger 230 may be

independently verified for accuracy at any time by comparing the stored copies of multiple

compute resources 210.

[0032] Communication between compute resources 210 may occur via communication

network 120. Communication network 120 of FIG. 2 may be the same network as, or be a

different network from, communication 120 of FIG. 1. In some embodiments, each compute

resource 210 may communicate directly with each other compute resource 210. In some

embodiments, some compute resources 210 may not be able to communicate directly with

each other. For example, they are not connected to the same communications network 120.

In this case, communications related to blockchain network 200 between the compute

resources 210 may occur by using one or more of the remaining compute resources 210 as

an intermediary. In some embodiments, one or more of compute resources 210 may not

maintain a continuous connection to blockchain network 200 at all times. For example, a

compute resource 210 may only be connected to blockchain network 200 during a certain

period of time each day or may only be connected to blockchain network 200 intermittently

throughout the day. Due to the decentralized nature of blockchain network 200, such an

intermittent connection by one or more compute resources 210 does not affect the overall

operation of blockchain network 200 since copies of public ledger 230 are stored on multiple

compute resources 210. Once the disconnected compute resource 210 reconnects to

blockchain network 200, the disconnected compute resource 210 may receive updated

copies of the public ledger 210 from one or more of the compute resources 210 that have

been connected to blockchain network 200.

[0033] FIG. 3 shows a flow diagram of a computer-implemented method according to an

exemplary embodiment of the present disclosure.

[0034] Method 300 begins at operation 310 illustrated in FIG. 3, where task server 110

provides one or more tasks to device 130 of user 145 over communication network 120.

The tasks include, for example, but not limited to, watching or listening information (e g .

advertisement) for a certain time, using services (e.g. search engine, chat bot, e-mail, social

media/networking service and any internet or web service), uploading or sending

information/data to a website, a server or a network (e.g. content sharing website, and cloud

network or server), or any other information or service which may produce effects on users.

In the blockchain, the task(s) may be included as a transaction in the public ledger 230.

[0035] Furthermore, the task(s) provided by task server 110 can include solving a test for

distinguishing human from machine input so that humans but not computers are able to pass

it, such as, Computer Automated Program to Tell Computers and Flumans Apart

(CAPTCHA) and reCAPTCHA which is a CAPTCHA-like system designed to establish

that a computer user is human. The task may require user 145 to solve a verification

challenge, for example, but not limited to, an image based challenge including instructions

prompting user 145 to solve the challenge through interaction with one or more images.

[0036] At operation 320, when or after user 145 performs the task(s) provided by task server

110, sensor 140 may sense the body activity of user 145 that is a body response related to

the task provided by task server 110, and then transmit the sensed body activity of user 145

to user device 130. The body activity may include, for example, but not limited to, radiation

emitted from human body, brain activities, body fluid flow (e.g. blood flow), organ activity

or movement, body movement, and any other activities that can be sensed and represented

by images, waves, signals, texts, numbers, degrees, or any other form of information or data.

Examples of body radiation emitted from human body may include radiant heat of the body,

pulse rate, or brain wave. Brain waves may comprise, for example, but not limited to, (i)

gamma waves, involved in learning or memory tasks, (ii) beta waves, involved in logical

thinking and/or conscious thought, (iii) alpha waves, which may be related to subconscious

thoughts, (iv) theta waves, which may be related to thoughts involving deep and raw

emotions, (v) delta waves, which may be involved in sleep or deep relaxation, or (vi)

electroencephalogram (EEG), which may be measurement used to evaluate the electrical

activity in the brain, such as deep concentration. Examples of the body movement may

include eye movement, facial movement or any other muscular movements. Furthermore,

brain activity can be sensed using the fMRI. The fMRI measures brain activity by detecting

changes associated with blood flow. This technique relies on the fact that cerebral blood

flow and neuronal activation are coupled. When an area of the brain is in use, blood flow

to that region also increases.

[0037] At operation 330, user device 130 generates body activity data based on the body

activity sensed by sensor 140. Operation 330 may be part of a mining process which is a

process for solving a computationally difficult problem. One exemplary embodiment of

operation 330 is shown in FIG. 4 . As shown in FIG. 4, operation 330 may comprise

operations 410 and 420.

[0038] At operation 410, the body activity sensed by sensor 140 may be codified in

symbolic forms, such as letter(s), numeral(s), symbol(s), and a string comprising sequence

of characters. In one example, the body activity can be codified by extracting one or more

values from the sensed body activity, such as minimum and/or maximum amplitude(s) or

frequency(ies) of a body activity signal (e g . brain waves). In another example, user device

130 may window and sample the sensed body activity over time and calculate the average

of the sampled values. In still another example, user device 130 may generate raw data of

the body activity. In still another example, user device 130 may filter a raw signal of the

body activity using one or more filters to apply the filtered body activity signal to an audio

hash function or algorithm at operation 420. Alternatively, any statistic value(s) associated

with human body activity can be codified from the body activity sensed by sensor 140.

[0039] At operation 420, the codified body activity may be converted into an encrypted

output by using an encryption algorithm, such as a hash algorithm or function. For example,

hash functions include functions that map an initial input data set of an output data set.

Generally, the hash function may be any function that can be used to map data of arbitrary

size to data of fixed size. The hash function allows one to easily verify that some input data

maps to a given hash value, but if the input data is unknown, it is deliberately difficult to

reconstruct it (or any equivalent alternatives) by knowing the stored hash value. The hash

algorithm or function may be included in the mining software or program of the

cryptocurrency system or database.

[0040] For example, operation 420 may use audio hash function, where the histogram of

frequencies of the codified body activity are summed up, or bit manipulation, such as XOR

function of each histogram bucket with the next or a modulus of a prime number, is

performed on the codified body activity.

[0041] In some embodiments, an analog hash function where the body activities themselves

are hashes can be used. For example, waves or signals sensed by sensor 140, for example,

but not limited to, alpha, beta, delta or gamma waves from the EEG sensor, may be

transformed to a histogram using a transforming algorithm or formula, such as Fast Fourier

Transform (FFT) or any other algorithm or formula that can convolve, add or multiply

waves or signals to produce a histogram. The hash may be the histogram itself. For example,

the hash may be the output of the FFT where each component is a frequency band and the

value is counts corresponding to each frequency band. In another example, the desired

properties may be that the first two frequency histograms are as close to zero as possible,

for instance, provided some statistical guarantee exists that this cannot happen easily.

[0042] However, operation 420 is optional. In certain embodiments, user device 130,

without encrypting or hashing the codified body activity, may transmit the codified body

activity generated at operation 410 to cryptocurrency system 150.

[0043] Although FIG. 3 illustrates that operation 330, including operation 410 and 420, is

processed by user device 130, at least one of operations 410 and 420 can be processed by

another device(s), server, resource or system, such as task server 110, cryptocurrency system

150 or any other server. For example, the user device 130 may generate raw data of the

sensed body activity, transmit it to cryptocurrency system 150, task server 110 or any other

server, and then cryptocurrency system 150, task server 110 or any other server may codify

or hash the raw data of the sensed body activity.

[0044] Referring back to FIG. 3, at operation 340, cryptocurrency system 150 verifies if the

body activity data of user 145 generated by user device 130 satisfies one or more conditions

set by an algorithm of cryptocurrency system 150. The conditions may be set by simulating

human body activity across all of body activities that can constitute hashes. Machine

learning algorithms may be used to simulate body activities and set the conditions for valid

body activities, for example, but not limited to, using generative adversarial networks.

[0045] In some embodiments, cryptocurrency system 150 verifies whether the body activity

data of user 145 (e.g. the code of the body activity generated at operation 410 or the hash of

the body activity generated at operation 420) may represent that the body activity of user

145 is within a target range. The target range may be determined using the amount of

cognitive effort that user 145 requires to perform the task provided by task server 110. For

example, to verify if the hash of the body activity of user 145, cryptocurrency system 150

may determine, for example, but not limited to, (i) whether the hash of the body activity of

user 145 has a specific certain pattern, repeated patterns, a mathematical properties or the

number of leading numbers, characters or strings (e.g. leading zeroes) set by cryptocurrency

system 150, or (ii) whether the hash of the body activity of user 145 is less than a current

target value. Examples of the numerical patterns set by cryptocurrency system 150 may be

a pattern that first certain digits of the hash form a prime number, or a pattern that a number

that is calculated by applying first certain digits of the hash to a preset formula forms a prime

number (For example, a number calculated by adding or subtracting a predetermined

number or a number set by cryptocurrency system 150 to the first four digits of the hashing

forms a prime number). The repeating number patterns may include a repeating number

(e.g. leading zeros, ones in the middle of the hash, twos in the last four digits of the hash,

and any repeating numbers included in the hash) and a repeating number sequence (e.g.

leading repeating digit pairs, such as “121212”, or triplets “123123”). If the hash of the

body activity of user 145 has the desirable pattern(s) or is within the target range, then the

proof of work or proof of stake is considered solved, and that hash can be a new block. The

target range or value may be changed periodically to maintain a preselected level of

difficulty, although it is not required. For example, the target value may be inversely

proportional to the difficulty. By varying the difficulty, a roughly constant rate of block

generation may be kept.

[0046] The target range of valid body activity may be set using statistical data so that normal

body activity, activity that can easily happen, or faking body activity cannot be validated.

For example, the target range of valid body activity may be selected from a range that human

miners cannot fake their own body activity to satisfy the target range to prove and validate

the proof-of-work.

[0047] Additionally, the verification at operation 340 may include filtering out invalid tasks,

malformed data (syntax errors) or data sent from an unauthorized user or generated by a

machine learning system. For example, cryptocurrency system 150 may receive, from user

device 130, data of the body activity generated before the hash algorithm is applied, rehash

that data, and then compare the rehashed data with the hash received from user device 130

to check whether the body activity data is generated based on human, not random computer

generated data. Voxel(s) of the image of the fMRI may be an example of the data of the

body activity generated before the hash algorithm is applied.

[0048] One exemplary embodiment of operation 340 is shown in FIG. 5 . At operation 510,

cryptocurrency system 150 may check whether the hash of the body activity, received from

user device 130, is within the target range set by cryptocurrency system 150, or comprises

a desirable pattern set by cryptocurrency system 150. If the hash of the body activity is

within the target range or has a desirable pattern set by cryptocurrency system 150,

cryptocurrency system 150 rehashes data of the body activity, generated before the hash

algorithm is applied and transmitted with the hash of the body activity from user device 130

(Operation 520), and then compare the rehashed data with the hash of the body activity,

received from user device 130 (Operation 530). If the rehashed data is identical to the hash

of the body activity, received from user device 130, cryptocurrency system 150 proceeds to

operation 350. However, if determining in operation 510 that the hash of the body activity

data is out of the target range or does not include the desirable pattern set by cryptocurrency

system 150 or if determining in operation 530 that the rehashed data does not match the

hash of the body activity, operation 310 or 320 may be proceeded.

[0049] At operation 350, when the body activity data transmitted from user device 130

satisfies one or more conditions set by cryptocurrency system 150, cryptocurrency system

150 awards cryptocurrency to user 145. For example, cryptocurrency system 150 awards

to user 145 an amount of cryptocurrency corresponding to the task accomplished by user

145. Additionally, cryptocurrency system 150 may award cryptocurrency to an owner or

operator of task server 110 as a reward for providing services, such as, search engines,

chatbots, applications or websites, offering users access for free to paid contents (e.g. video

and audio streaming or electric books), or sharing information or data with users.

[0050] For example, in the blockchain cryptocurrency system, at operation 340, at least one

of compute resources 210 of FIG. 2 verifies if the hash of the body activity data of user 145

is valid. At operation 350, when the hash of the body activity data of user 145 is validated

at operation 340, the compute resource 210 of FIG. 2 can add a new block to the blockchain.

The new block may contain the number of cryptocurrency units assigned to the user’s

address. The new blockchain with the additional added block is broadcasted around the

cryptocurrency network 150. The compute resource 210, which performed operations 340

and 350, may be also rewarded with transaction fees and/or cryptocurrency.

[0051] FIG. 5 depicts a blockchain 500 and two exemplary blocks 510, 520 of blockchain

500 according to exemplary embodiments of the present disclosure. Typically a

“blockchain” is understood as being a data structure comprising a series of blocks, where

each block includes data corresponding to one or more transactions, hashed together with

linking data, such as the hash of an immediately preceding block. In the embodiment of the

present disclosure, the transaction may be the task performed by user 145. The chain can

then be used to create a ledger, which is typically an append-only database. Once data is

entered into a block of the chain, the entry is essentially irrefutable, since any tampering

with the data would be reflected in the chained hash calculations and is thus easily detected.

[0052] The blockchain 500 may represent the publicly distributable transactions ledger,

such as ledger 230 of FIG. 2, and may include a plurality of blocks. Each block, such as

block 510 and block 520 may include data regarding recent transactions. For example, the

task performed by user 145 and the number of cryptocurrency units awarded to user 145,

and/or contents linking data that links one block 520 to a previous block 510, and proof-of-

work data, for example, the validated hash of the body activity, that ensures that the state of

the blockchain 500 is valid and is endorsed/verified by a majority of the record keeping

system. Exemplary embodiments of block 520 of blockchain 500 may include a current

hash, a previous hash of previous block 510, transaction. The previous hash is a hash from

the immediately preceding block, which ensures that each block is immutably tied to

previous block. The hash of previous block 510 may be included in block 520, thereby

linking block 520 to previous block 510.

[0053] Transaction information cannot be modified without at least one of compute

resources 210 noticing, thus, the blockchain 500 can be trusted to verify transactions

occurring on blockchain 500.

[0054] In some embodiments, vectors or embeddings may be used for body activity data.

FIG. 7 shows a flow diagram of an exemplary embodiment of a computer-implemented

method using vectors (or embedding). As described in detail above with respect to FIG. 3,

task server 110 or cryptocurrency system/network 150, such as a central cryptocurrency

server or compute resource (or node) 210, may perform operation 310 where one or more

tasks are proposed to user device 130 over communication network 120, and sensor 140

may perform operation 320 where sensor 140 senses or measures the body activity of user

145. Sensor 140 (or user device 130) may generate data of the body activity in the form of

images, waves, signals, numbers, characters, strings or any other form that can represent the

body activity.

[0055] At operation 710, user device 130 produces one or more vectors (or embeddings),

such as an array of floating point numbers, from the data of the body activity generated by

sensor 140 (or user device 130). An algorithm stored in user device 130, or any device,

server, system or network communicatively connected to user device 130 over

communication network 120, may transform the data of the body activity generated by

sensor 140 (or user device 130) into one or more vectors. For example, the brain image

generated by the fMRI scanner may be fed into a computer vision machine learning

algorithm, for example, but limited to, a convolution neural network, and the machine

learning algorithm may generate one or more vectors from one or more voxels of the brain

image. In some embodiments, one single vector may be generated at operation 710. In

other embodiments, a series of vectors may be produced by sampling over time when user

145 is performing the task(s). The data of the body activity (e.g. voxels of a brain image)

and/or the vectors (or embeddings) may generate a “proof of work” and be transmitted to

cryptocurrency system/network 150.

[0056] In addition, the vectors may optionally include one or more vectors related to the

task(s), for example, but not limited to, search terms that user 145 used or identified s) of

advertisement that user 145 viewed.

[0057] At operation 720, the vector(s) generated at operation 710 may be converted into an

encrypted output by using an encryption algorithm, such as a hashing algorithm or function,

as explained above with respect to operation 420 of FIG. 4 . For example, the vector(s) can

be hashed as bytes with the hashing algorithm, such as Secure Hash Algorithm (SHA)-l,

SHA-256, SHA-384, SHA-512, and Message Digest (MD)-5.

[0058] However, operation 720 is optional. In some embodiments, user device 130 can

transmit the vector(s) of the body activity produced at operation 710 to cryptocurrency

system 150 without encrypting or hashing them.

[0059] At operation 730, cryptocurrency system 150 receives, from user device 130, the

data of the body activity of user 145 (e.g. voxels of a brain image) and/or the vector(s) (or

the hash) of the body activity of user 145.

[0060] At operation 740, cryptocurrency system 150 checks if the vector(s) received from

user device 130 have one or more mathematical properties set by cryptocurrency

system/network 150. For example, cryptocurrency system 150 may determine whether the

vector(s) of the body activity have similarity (or relationship) with a legitimate vector (or a

baseline vector) set by an algorithm of cryptocurrency system 150. The similarity may be

measured or calculated using, for example, but not limited to, a cosine similarity, the

Euclidean distance, the Manhattan distance, the Minkowski distance, and the Jaccard

similarity. The legitimate vector may be set based on the assumption that the vectors of

body activities of people who are performing the same task have a certain degree of

similarity. Cryptocurrency system 150, such as a central cryptocurrency server/network or

compute resource (or node) 210 of FIG. 2, can decide the legitimate vector and similarity.

For example, miners like compute resources (or nodes) 210 of FIG. 2 can share their proof

of work including, for example, but not limited to, vectors of body activities, with

cryptocurrency network 150, and decide the legitimate vector and similarity by calculating

the average of the proof of work (e g . a centroid or weighted average of the vectors and a

standard deviation).

[0061] If the vector(s) received from user device 130 have the mathematical property(ies)

set by cryptocurrency system/network 150, cryptocurrency system/network 150 rehashes

the data of the body activity, transmitted from user device 130 (Operation 750), and then

compares the rehashed output with the vectors (or the hash) received from user device 130

(Operation 760). For example, computer resource (or node) 210 of FIG. 2 may rehash the

fMRI voxels, transmitted from user device 130, to a vector, and then compare the rehashed

vector with the vector received from user device 130 to check whether the body activity data

is generated based on human, not random computer generated data. If determining in

operation 740 that the vector(s) received user device 130 do not satisfy the mathematical

property(ies) set by cryptocurrency system/network 150 or if determining in operation 760

that the rehashed output does not match the vector(s) (or the hash) received from user device

130, operation 310 or 320 may be proceeded.

[0062] If the rehashed output is identical to the vector(s) (or the hash) received from user

device 130, cryptocurrency system/network 150 awards cryptocurrency to user 145 as

described in detail above with respect to operation 350. For example, in the blockchain

cryptocurrency system, a miner, such as one of compute resources (or nodes) 210 of FIG. 2,

which performed the validation of the body activity data, may add a new block, which

includes the data of the body activity, the vector(s) (or the hash) and/or the number of

cryptocurrency units assigned to the user’s address, to the blockchain, broadcast a new

blockchain with the new block around cryptocurrency network 150, and may be rewarded

with transaction fees and/or cryptocurrency.

[0063] FIG. 8 illustrates a schematic of an example computer or processing system that may

implement any of the systems, methods, and computer program products, such as task server

110, user device 130, cryptocurrency system 150 and compute resources 210, described

herein in one embodiment of the present disclosure. The computer system is only one

example of a suitable processing system and is not intended to suggest any limitation as to

the scope of use or functionality of embodiments of the methodology described herein. The

processing system shown may be operational with numerous other general purpose or

special purpose computing system environments or configurations. Examples of well-

known computing systems, environments, and/or configurations that may be suitable for use

with the processing system shown in FIG. 8 may include, but are not limited to, personal

computer systems, server computer systems, thin clients, thick clients, handheld or laptop

devices, multiprocessor systems, microprocessor-based systems, set top boxes,

programmable consumer electronics, network PCs, minicomputer systems, mainframe

computer systems, and distributed cloud computing environments that include any of the

above systems or devices, and the like.

[0064] The computer system may be described in the general context of computer system

executable instructions, such as program modules, being executed by a computer system.

Generally, program modules may include routines, programs, objects, components, logic,

data structures, and so on that perform particular tasks or implement particular abstract data

types. The computer system may be practiced in distributed cloud computing environments

where tasks are performed by remote processing devices that are linked through a

communications network. In a distributed cloud computing environment, program modules

may be located in both local and remote computer system storage media including memory

storage devices.

[0065] The components of computer system 800 may include, but are not limited to, one or

more processors or processing units 810, system memory 820, and bus 830 that couples

various system components including system memory 820 to processor 810. Processor 810

may include software module 815 that performs the methods described herein. The module

815 may be programmed into the integrated circuits of processor 810, or loaded from

memory 820, storage device 840, or network 850 or combinations thereof.

[0066] Bus 830 may represent one or more of any of several types of bus structures,

including a memory bus or memory controller, a peripheral bus, an accelerated graphics

port, and a processor or local bus using any of a variety of bus architectures. By way of

example, and not limitation, such architectures include Industry Standard Architecture (ISA)

bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA) bus, Video Electronics

Standards Association (VESA) local bus, and Peripheral Component Interconnects (PCI)

bus.

[0067] Computer system 800 may include a variety of computer system readable media.

Such media may be any available media that is accessible by computer system, and it may

include both volatile and non-volatile media, removable and non-removable media.

[0068] System memory 820 can include computer system readable media in the form of

volatile memory, such as random access memory (RAM) and/or cache memory or others.

Computer system 800 may further include other removable/non-removable volatile/non-

volatile computer system storage media. By way of example only, storage device 840 can

be provided for reading from and writing to a non-removable, non-volatile magnetic media

(e.g., a “hard drive”). Although not shown, a magnetic disk drive for reading from and

writing to a removable, non-volatile magnetic disk (e g., a “floppy disk”), and an optical

disk drive for reading from or writing to a removable, non-volatile optical disk such as a

CD-ROM, DVD-ROM or other optical media can be provided. In such instances, each can

be connected to bus 630 by one or more data media interfaces.

[0069] Computer system 800 may also communicate with one or more external devices 860

such as a keyboard, a pointing device, a display 870, etc; one or more devices that enable a

user to interact with computer system; and/or any devices (e.g., network card, modem, etc.)

that enable computer system to communicate with one or more other computing devices.

Such communication can occur via Input/Output (I/O) interfaces 880.

[0070] Still yet, computer system 800 can communicate with one or more networks 850

such as a local area network (LAN), a general wide area network (WAN), and/or a public

network (e.g., the Internet) via network adapter 855. As depicted, network adapter 855

communicates with the other components of computer system via bus 830. It should be

understood that although not shown, other hardware and/or software components could be

used in conjunction with computer system. Examples include, but are not limited to:

microcode, device drivers, redundant processing units, external disk drive arrays, RAID

systems, tape drives, and data archival storage systems, etc.

[0071] As will be appreciated by one skilled in the art, aspects of the present disclosure may

be embodied as a system, method or computer program product. Accordingly, aspects of

the present disclosure may take the form of an entirely hardware embodiment, an entirely

software embodiment (including firmware, resident software, micro-code, etc.) or an

embodiment combining software and hardware aspects that may all generally be referred to

herein as a “circuit,” “module” or “system.” Furthermore, aspects of the present disclosure

may take the form of a computer program product embodied in one or more computer

readable medium(s) having computer readable program code embodied thereon.

[0072] Any combination of one or more computer readable medium(s) may be utilized. The

computer readable medium may be a computer readable signal medium or a computer

readable storage medium. A computer readable storage medium may be, for example, but

not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor

system, apparatus, or device, or any suitable combination of the foregoing. More specific

examples (a non-exhaustive list) of the computer readable storage medium would include

the following: a portable computer diskette, a hard disk, a random access memory (RAM),

a read-only memory (ROM), an erasable programmable read-only memory (EPROM or

Flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage

device, a magnetic storage device, or any suitable combination of the foregoing. In the

context of this document, a computer readable storage medium may be any tangible medium

that can contain, or store a program for use by or in connection with an instruction execution

system, apparatus, or device.

[0073] A computer readable signal medium may include a propagated data signal with

computer readable program code embodied therein, for example, in baseband or as part of

a carrier wave. Such a propagated signal may take any of a variety of forms, including, but

not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer

readable signal medium may be any computer readable medium that is not a computer

readable storage medium and that can communicate, propagate, or transport a program for

use by or in connection with an instruction execution system, apparatus, or device.

[0074] Program code embodied on a computer readable medium may be transmitted using

any appropriate medium, including but not limited to wireless, wireline, optical fiber cable,

RF, etc., or any suitable combination of the foregoing.

[0075] Computer program code for carrying out operations for aspects of the present

invention may be written in any combination of one or more programming languages,

including an object oriented programming language such as Java, Smalltalk, C++ or the like

and conventional procedural programming languages, such as the “C” programming

language or similar programming languages, a scripting language such as Perl, VBS or

similar languages, and/or functional languages such as Lisp and ML and logic-oriented

languages such as Prolog. The program code may execute entirely on the user's computer,

partly on the user's computer, as a stand-alone software package, partly on the user's

computer and partly on a remote computer or entirely on the remote computer or server. In

the latter scenario, the remote computer may be connected to the user's computer through

any type of network, including a local area network (LAN) or a wide area network (WAN),

or the connection may be made to an external computer (for example, through the Internet

using an Internet Service Provider).

[0076] Aspects of the present disclosure are described with reference to flowchart

illustrations and/or block diagrams of methods, apparatus (systems) and computer program

products according to some embodiments of the present disclosure. It will be understood

that each block of the flowchart illustrations and/or block diagrams, and combinations of

blocks in the flowchart illustrations and/or block diagrams, can be implemented by

computer program instructions. These computer program instructions may be provided to a

processor of a general purpose computer, special purpose computer, or other programmable

data processing apparatus to produce a machine, such that the instructions, which execute

via the processor of the computer or other programmable data processing apparatus, create

means for implementing the functions/acts specified in the flowchart and/or block diagram

block or blocks.

[0077] These computer program instructions may also be stored in a computer readable

medium that can direct a computer, other programmable data processing apparatus, or other

devices to function in a particular manner, such that the instructions stored in the computer

readable medium produce an article of manufacture including instructions which implement

the function/act specified in the flowchart and/or block diagram block or blocks.

[0078] The computer program instructions may also be loaded onto a computer, other

programmable data processing apparatus, or other devices to cause a series of operational

steps to be performed on the computer, other programmable apparatus or other devices to

produce a computer implemented process such that the instructions which execute on the

computer or other programmable apparatus provide processes for implementing the

functions/acts specified in the flowchart and/or block diagram block or blocks.

[0079] The flowchart and block diagrams in the figures illustrate the architecture,

functionality, and operation of possible implementations of systems, methods and computer

program products according to various embodiments of the present invention. In this regard,

each block in the flowchart or block diagrams may represent a module, segment, or portion

of code, which comprises one or more executable instructions for implementing the

specified logical function(s). It should also be noted that, in some alternative

implementations, the functions noted in the block may occur out of the order noted in the

figures. For example, two blocks shown in succession may, in fact, be executed substantially

concurrently, or the blocks may sometimes be executed in the reverse order, depending upon

the functionality involved. It will also be noted that each block of the block diagrams and/or

flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart

illustration, can be implemented by special purpose hardware-based systems that perform

the specified functions or acts, or combinations of special purpose hardware and computer

instructions.

[0080] The computer program product may comprise all the respective features enabling

the implementation of the methodology described herein, and which - when loaded in a

computer system - is able to carry out the methods. Computer program, software program,

program, or software, in the present context means any expression, in any language, code

or notation, of a set of instructions intended to cause a system having an information

processing capability to perform a particular function either directly or after either or both

of the following: (a) conversion to another language, code or notation; and/or (b)

reproduction in a different material form.

[0081] The terminology used herein is for the purpose of describing particular embodiments

only and is not intended to be limiting of the invention. As used herein, the singular forms

“a”, “an” and “the” are intended to include the plural forms as well, unless the context

clearly indicates otherwise. It will be further understood that the terms “comprises” and/or

“comprising,” when used in this specification, specify the presence of stated features,

integers, steps, operations, elements, and/or components, but do not preclude the presence

or addition of one or more other features, integers, steps, operations, elements, components,

and/or groups thereof.

[0082] The corresponding structures, materials, acts, and equivalents of all means or step

plus function elements, if any, in the claims below are intended to include any structure,

material, or act for performing the function in combination with other claimed elements as

specifically claimed. The description of the present invention has been presented for

purposes of illustration and description, but is not intended to be exhaustive or limited to

the invention in the form disclosed. Many modifications and variations will be apparent to

those of ordinary skill in the art without departing from the scope and spirit of the invention.

The embodiment was chosen and described in order to best explain the principles of the

invention and the practical application, and to enable others of ordinary skill in the art to

understand the invention for various embodiments with various modifications as are suited

to the particular use contemplated.

[0083] Various aspects of the present disclosure may be embodied as a program, software,

or computer instructions embodied in a computer or machine usable or readable medium,

which causes the computer or machine to perform the steps of the method when executed

on the computer, processor, and/or machine. A program storage device readable by a

machine, tangibly embodying a program of instructions executable by the machine to

perform various functionalities and methods described in the present disclosure is also

provided.

[0084] The system and method of the present disclosure may be implemented and run on a

general-purpose computer or special-purpose computer system. The terms “computer

system” and “computer network” as may be used in the present application may include a

variety of combinations of fixed and/or portable computer hardware, software, peripherals,

and storage devices. The computer system may include a plurality of individual components

that are networked or otherwise linked to perform collaboratively, or may include one or

more stand-alone components. The hardware and software components of the computer

system of the present application may include and may be included within fixed and portable

devices such as desktop, laptop, and/or server. A module may be a component of a device,

software, program, or system that implements some “functionality”, which can be embodied

as software, hardware, firmware, electronic circuitry, or etc.

[0085] Although specific embodiments of the present invention have been described, it will

be understood by those of skill in the art that there are other embodiments that are equivalent

to the described embodiments. Accordingly, it is to be understood that the invention is not

to be limited by the specific illustrated embodiments, but only by the scope of the appended

claims.

CONCEPTS

[0086] Concept 1. A cryptocurrency system, comprising: one or more processors; and

memory storing executable instructions that, if executed by the one or more processors,

configure the cryptocurrency system to: communicate with a device of a user; receive body

activity data which is generated based on body activity of the user, wherein the body activity

is sensed by a sensor communicatively coupled to or comprised in the device of the user;

verify if the body activity data of the user satisfies one or more conditions set by the

cryptocurrency system; and award cryptocurrency to the user whose body activity data is

verified.

[0087] Concept 2 . The system of any preceding and/or succeeding Concept(s), wherein the

body activity sensed by the sensor comprises at least one of body radiation emitted from the

user, body fluid flow, a brain wave, pulse rate or body heat radiation.

[0088] Concept 3 . The system of any preceding and/or succeeding Concept(s), wherein the

one or more conditions are set based on an amount of human body activity associated with

a task which is provided to the device of the user.

[0089] Concept 4 . The system of any preceding and/or succeeding Concept, wherein the

one or more conditions comprise a condition that the body activity data represents that the

user performs a task provided to the device of the user.

[0090] Concept 5 . The system of any preceding and/or succeeding Concept(s), wherein the

body activity data is generated using a hash algorithm converting human body activity into

an encryption output, and the generated body activity data comprises a hash of the sensed

body activity of the user.

[0091] Concept 6 . The system of any preceding and/or succeeding Concept(s), wherein the

body activity data comprises one or more vectors produced from the body activity sensed

by the sensor.

[0092] Concept 7 . The system of any preceding and/or succeeding Concept(s), wherein the

one or more conditions include a condition that the hash of the body activity includes

repeated patterns or a mathematical property set by the cryptocurrency system.

[0093] Concept 8 . The system of any preceding and/or succeeding Concept(s), wherein the

cryptocurrency system awards the cryptocurrency to the user by generating a block for the

awarded cryptocurrency and adding the block to a blockchain stored in the cryptocurrency

system.

[0094] Concept 9 . The system of any preceding and/or succeeding Concept(s), wherein the

block comprises data comprising: a task provided to the device of the user; information on

the awarded cryptocurrency; a hash associated with the body activity; and a hash of a

previous block.

[0095] Concept 10. The system of any preceding and/or succeeding Concept(s), wherein

the task provided to the device of the user comprises a test for verifying if the user of the

device is human or not.

[0096] Concept 11. The system of any preceding and/or succeeding Concept(s), wherein

the cryptocurrency system is configured to: receive, from the device of the user, data of the

body activity generated before the hash algorithm is applied and the hash of the body activity;

rehash the data of the body activity; and compare the rehashed data with the hash of the

body activity received from the device of the user to verify the body activity data.

[0097] Concept 12. A computer-implemented method, comprising: receiving, by a device

of a user coupled to a network, a task over the network; sensing, by a sensor

communicatively coupled to or comprised in the device of the user, body activity of the user;

generating body activity data based on the sensed body activity of the user; verifying, by a

cryptocurrency system communicatively coupled to the device of the user, if the body

activity data satisfies one or more conditions set by the cryptocurrency system; and

awarding, by the cryptocurrency system, cryptocurrency to the user whose body activity

data is verified.

[0098] Concept 13. The method of any preceding and/or succeeding Concept(s), wherein

the body activity sensed by the sensor comprises at least one of body radiation emitted from

the user, body fluid flow, a brain wave, pulse rate or body heat radiation.

[0099] Concept 14. The method of any preceding and/or succeeding Concept(s), wherein

the one or more conditions are set by the cryptocurrency system based on an amount of

human body activity associated with the task provided to the device of the user.

[00100] Concept 15. The method of any preceding and/or succeeding Concept(s),

wherein the verifying if the body activity data satisfies the one or more conditions comprises

determining if the body activity data represents that the user performs the task provided to

the device of the user.

[00101] Concept 16. The method of any preceding and/or succeeding Concept(s),

wherein the verifying if the body activity data satisfies the one or more conditions comprises

determining if the body activity data represents more than an amount of the body activity

set by the cryptocurrency system.

[00102] Concept 17. The method of any preceding and/or succeeding Concept(s),

wherein the body activity data is generated using a hash algorithm converting human body

activity into an encryption output, and the generated body activity data comprises a hash of

the sensed body activity of the user.

[00103] Concept 18. The method of any preceding and/or succeeding Concept(s),

wherein the body activity data comprises one or more vectors produced from the body

activity sensed by the sensor.

[00104] Concept 19. The method of any preceding and/or succeeding Concept(s),

wherein the verifying if the body activity data satisfies the one or more conditions set by the

cryptocurrency system comprises determining if the hash of the sensed body activity

includes repeated patterns or a mathematical property set by the cryptocurrency system.

[00105] Concept 20. The method of any preceding and/or succeeding Concept(s),

wherein the awarding the cryptocurrency comprises generating, by the cryptocurrency

system, a block for the awarded cryptocurrency and adding the generated block to a

blockchain stored in the cryptocurrency system.

[00106] Concept 21. The method of any preceding and/or succeeding Concept(s),

wherein the block comprises data comprising: the task provided to the device of the user;

information on the awarded cryptocurrency; the generated hash associated with the body

activity; and a hash of a previous block.

[00107] Concept 22. The method of any preceding and/or succeeding Concept(s),

wherein the task comprises a test for verifying if the user of the device is human or not.

[00108] Concept 23. The method of any preceding and/or succeeding Concept(s),

further comprising: receiving, by the cryptocurrency system, from the device of the user,

data of the body activity generated before the hash algorithm is applied and the hash of the

body activity; rehashing, by the cryptocurrency system, the data of the body activity; and

comparing, by the cryptocurrency system, the rehashed data with the hash of the body

activity received from the device of the user to verify the body activity data.

[00109] Concept 24. A device, comprising: one or more processors communicatively

coupled to a sensor, the sensor configured to sense body activity of a user; and memory

storing executable instructions that, if executed by the one or more processors, configure

the device to: receive a task; generate body activity data based on the sensed body activity

of the user, wherein the sensed body activity is associated with the received task; and

transmit the generated body activity data to a system or network which verifies the body

activity data to award cryptocurrency.

[00110] Concept 25. The system of any preceding and/or succeeding Concept(s),

wherein the body activity sensed by the sensor comprises at least one of body radiation

emitted from the user, body fluid flow, a brain wave, pulse rate or body heat radiation.

[00111] Concept 26. The system of any preceding and/or succeeding Concept(s),

wherein the body activity data is generated using a hash algorithm converting human body

activity into an encryption output.

[00112] Concept 27. The system of any preceding and/or succeeding Concept(s),

wherein the body activity data comprises one or more vectors produced from the body

activity sensed by the sensor.

[00113] Concept 28. The system of any preceding and/or succeeding Concept(s),

wherein the body activity data is generated by producing one or more vectors from the body

activity sensed by the sensor and encrypting the one or more vectors.

CLAIMS

1 . A cryptocurrency system, comprising:

one or more processors; and

memory storing executable instructions that, if executed by the one or more

processors, configure the cryptocurrency system to:

communicate with a device of a user;

receive body activity data which is generated based on body activity of the user,

wherein the body activity is sensed by a sensor communicatively coupled to or comprised

in the device of the user;

verify if the body activity data of the user satisfies one or more conditions set by

the cryptocurrency system; and

award cryptocurrency to the user whose body activity data is verified.

2 . The system of claim 1, wherein the body activity sensed by the sensor comprises

at least one of body radiation emitted from the user, body fluid flow, a brain wave, pulse

rate or body heat radiation.

3 . The system of claim 1, wherein the one or more conditions are set based on an

amount of human body activity associated with a task which is provided to the device of

the user.

4 . The system of one of claims 1-3, wherein the body activity data is generated

using a hash algorithm converting human body activity into an encryption output, and the

generated body activity data comprises a hash of the sensed body activity of the user.

5 . The system of one of claims 1-3, wherein the body activity data comprises one

or more vectors produced from the body activity sensed by the sensor.

6 . The system of one of claims 1-3, wherein the cryptocurrency system awards the

cryptocurrency to the user by generating a block for the awarded cryptocurrency and

adding the block to a blockchain stored in the cryptocurrency system.

7 . The system of claim 6, wherein the block comprises data comprising:

a task provided to the device of the user;

information on the awarded cryptocurrency;

a hash associated with the body activity; and

a hash of a previous block.

8 . The system of claim 3, wherein the task provided to the device of the user

comprises a test for verifying if the user of the device is human or not.

9 . The system of claim 4, wherein the cryptocurrency system is configured to:

receive, from the device of the user, data of the body activity generated before the

hash algorithm is applied and the hash of the body activity;

rehash the data of the body activity; and

compare the rehashed data with the hash of the body activity received from the

device of the user to verify the body activity data.

10. A computer-implemented method, comprising:

receiving, by a device of a user coupled to a network, a task over the network;

sensing, by a sensor communicatively coupled to or comprised in the device of the

user, body activity of the user;

generating body activity data based on the sensed body activity of the user;

verifying, by a cryptocurrency system communicatively coupled to the device of

the user, if the body activity data satisfies one or more conditions set by the

cryptocurrency system; and

awarding, by the cryptocurrency system, cryptocurrency to the user whose body

activity data is verified.

11. The method of claim 10, wherein the body activity sensed by the sensor

comprises at least one of body radiation emitted from the user, body fluid flow, a brain

wave, pulse rate or body heat radiation.

12. The method of claim 10, wherein the one or more conditions are set by the

cryptocurrency system based on an amount of human body activity associated with the

task provided to the device of the user.

13. The method of one of claims 10-12, wherein the body activity data is generated

using a hash algorithm converting human body activity into an encryption output, and the

generated body activity data comprises a hash of the sensed body activity of the user.

14. The method of one of claims 10-12, wherein the body activity data comprises

one or more vectors produced from the body activity sensed by the sensor.

15. The method of claim 13, further comprising:

receiving, by the cryptocurrency system, from the device of the user, data of the

body activity generated before the hash algorithm is applied and the hash of the body

activity;

rehashing, by the cryptocurrency system, the data of the body activity; and

comparing, by the cryptocurrency system, the rehashed data with the hash of the

body activity received from the device of the user to verify the body activity data.

INTERNATIONAL SEARCH REPORTInternational application No

PCT/US20 19/038084

A. CLASSIFICATION OF SUBJECT MATTERI NV . G06Q20/06 G06Q20/32 H04 L9/32 G06Q30/02 G06N3/08ADD .

According to International Patent Classification (IPC) or to both national classification and IPC

B. FIELDS SEARCHED

Minimum documentation searched (classification system followed by classification symbols)

G06Q H04 L G07G G06N

Documentation searched other than minimum documentation to the extent that such documents are included in the fields searched

Electronic data base consulted during the international search (name of data base and, where practicable, search terms used)

EPO - I nterna l , WP I Data

* Special categories of cited documents :"T" later document published after the international filing date or priority

"A" document defining the general state of the art which is not considereddate and not in conflict with the application but cited to understand

to be of particular relevancethe principle or theory underlying the invention

Έ " earlier application or patent but published on or after the internationalfiling date

"X" document of particular relevance; the claimed invention cannot beconsidered novel or cannot be considered to involve an inventive

"L" document which may throw doubts on priority claim(s) orwhich is step when the document is taken alone

rnational search report

i m

Form PCT/ISA/210 (second sheet) (April 2005)

INTERNATIONAL SEARCH REPORTInternational application No

PCT/US2019/038084

Form PCT/ISA/210 (continuation of second sheet) (April 2005)

INTERNATIONAL SEARCH REPORTInternational application No

Information on patent family membersPCT/US2019/038084

Patent document Publication Patent family Publicationcited in search report date member(s) date

US 2018247191 A1 30-08-2018 US 2018247191 A1 30-08-2018US 2018341861 A1 29-11-2018US 2018373983 A1 27-12-2018US 2018373984 A1 27-12-2018